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Results 1 - 10
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2,089
Muscle Satellite Cells and Endothelial Cells: Close Neighbors and Privileged Partners □D
, 2006
"... Genetically engineered mice (Myf5 nLacZ/ � , Myf5 GFP-P/ � ) allowing direct muscle satellite cell (SC) visualization indicate that, in addition to being located beneath myofiber basal laminae, SCs are strikingly close to capillaries. After GFP � bone marrow transplantation, blood-borne cells occupy ..."
Abstract
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Cited by 17 (1 self)
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Genetically engineered mice (Myf5 nLacZ/ � , Myf5 GFP-P/ � ) allowing direct muscle satellite cell (SC) visualization indicate that, in addition to being located beneath myofiber basal laminae, SCs are strikingly close to capillaries. After GFP � bone marrow transplantation, blood-borne cells
Local factors determine plant community structure on closely neighbored islands
- PLoS ONE 6:e19762 DOI 10.1371/journal.pone.0019762
, 2011
"... Despite the recent popularity of the metacommunity concept, ecologists have not evaluated the applicability of different metacommunity frameworks to insular organisms. We surveyed 50 closely spaced islands in the Thousand-Island Lake of China to examine the role of local (environmental) and regional ..."
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Cited by 1 (0 self)
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Despite the recent popularity of the metacommunity concept, ecologists have not evaluated the applicability of different metacommunity frameworks to insular organisms. We surveyed 50 closely spaced islands in the Thousand-Island Lake of China to examine the role of local (environmental
Energy Conserving Routing in Wireless Ad-hoc Networks
, 2000
"... An ad-hoc network of wireless static nodes is considered as it arises in a rapidly deployed, sensor based, monitoring system. Information is generated in certain nodes and needs to reach a set of designated gateway nodes. Each node may adjust its power within a certain range that determines the set ..."
Abstract
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Cited by 622 (2 self)
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the set of possible one hop away neighbors. Traffic forwarding through multiple hops is employed when the intended destination is not within immediate reach. The nodes have limited initial amounts of energy that is consumed in different rates depending on the power level and the intended receiver. We
Svm-knn: Discriminative nearest neighbor classification for visual category recognition
- in CVPR
, 2006
"... We consider visual category recognition in the framework of measuring similarities, or equivalently perceptual distances, to prototype examples of categories. This approach is quite flexible, and permits recognition based on color, texture, and particularly shape, in a homogeneous framework. While n ..."
Abstract
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Cited by 342 (10 self)
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. We propose a hybrid of these two methods which deals naturally with the multiclass setting, has reasonable computational complexity both in training and at run time, and yields excellent results in practice. The basic idea is to find close neighbors to a query sample and train a local support vector
Precomputed Radiance Transfer for Real-Time Rendering in Dynamic, Low-Frequency Lighting Environments
- ACM Transactions on Graphics
, 2002
"... We present a new, real-time method for rendering diffuse and glossy objects in low-frequency lighting environments that captures soft shadows, interreflections, and caustics. As a preprocess, a novel global transport simulator creates functions over the object's surface representing transfer of ..."
Abstract
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Cited by 470 (28 self)
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of arbitrary, low-frequency incident lighting into transferred radiance which includes global effects like shadows and interreflections from the object onto itself. At run-time, these transfer functions are applied to actual incident lighting. Dynamic, local lighting is handled by sampling it close
Is Being a Super-Power More Important Than Being Your Close Neighbor
- Effects of Movements in the New Zealand and United States Stock Markets on Movements in the Australian Stock Market. Applied Financial Economics
, 2008
"... This paper employs a Fractionally Integrated Vector Error Correction Model (FIVECM) to examine the return transmission between the Australian and New Zealand stock markets and between the Australian and United States stock markets. We augment the FIVECM with a multivariate GARCH model. In so doing, ..."
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Cited by 4 (3 self)
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States, as the world’s economic superpower, are more important to the Australian stock market than stock market movements in New Zealand, Australia’s closest neighbor.
Value Locality and Load Value Prediction
, 1996
"... Since the introduction of virtual memory demand-paging and cache memories, computer systems have been exploiting spatial and temporal locality to reduce the average latency of a memory reference. In this paper, we introduce the notion of value locality, a third facet of locality that is frequently p ..."
Abstract
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Cited by 391 (18 self)
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present in real-world programs, and describe how to effectively capture and exploit it in order to perform load value prediction. Temporal and spatial locality are attributes of storage locations, and describe the future likelihood of references to those locations or their close neighbors. In a similar
Distributed topology control for power efficient operation in multihop wireless ad hoc networks
, 2001
"... Abstract — The topology of wireless multihop ad hoc networks can be controlled by varying the transmission power of each node. We propose a simple distributed algorithm where each node makes local decisions about its transmission power and these local decisions collectively guarantee global connecti ..."
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Cited by 383 (18 self)
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connectivity. Specifically, based on the directional information, a node grows it transmission power until it finds a neighbor node in every direction. The resulting network topology increases network lifetime by reducing transmission power and reduces traffic interference by having low node degrees. Moreover
Flexible Metric Nearest Neighbor Classification
, 1994
"... The K-nearest-neighbor decision rule assigns an object of unknown class to the plurality class among the K labeled "training" objects that are closest to it. Closeness is usually defined in terms of a metric distance on the Euclidean space with the input measurement variables as axes. The ..."
Abstract
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Cited by 133 (2 self)
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The K-nearest-neighbor decision rule assigns an object of unknown class to the plurality class among the K labeled "training" objects that are closest to it. Closeness is usually defined in terms of a metric distance on the Euclidean space with the input measurement variables as axes
Results 1 - 10
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